Quiz: TensorFlow Basics
1. Given a tensor of rank 3
, what its shape can look like?
2. For a tensor of shape (1, 4)
, can you identify its rank?
3. Which of the following tensors corresponds to the data type uint32
?
4. Which of the following is true about the matrix multiplication (dot product) compatibility rule?
5. Which of the following is an alternative to matrix multiplication using tf.matmul
?
6. What does the slice X[:, 2]
represent for a matrix?
7. Which of the following operations can be used to combine multiple tensors?
8. In a reduction operation, if we don't specify an axis:
9. Which command calculates the mean value of a tensor?
10. A website tracks user activities for 50
users over a month (30
days). Every day, it logs 10
different metrics (like time spent on site, clicks, purchases, etc.) for each user (15000
values in total). What tensor shape encapsulates this data?
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Sezione 1. Capitolo 13
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Quiz: TensorFlow Basics
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1. Given a tensor of rank 3
, what its shape can look like?
2. For a tensor of shape (1, 4)
, can you identify its rank?
3. Which of the following tensors corresponds to the data type uint32
?
4. Which of the following is true about the matrix multiplication (dot product) compatibility rule?
5. Which of the following is an alternative to matrix multiplication using tf.matmul
?
6. What does the slice X[:, 2]
represent for a matrix?
7. Which of the following operations can be used to combine multiple tensors?
8. In a reduction operation, if we don't specify an axis:
9. Which command calculates the mean value of a tensor?
10. A website tracks user activities for 50
users over a month (30
days). Every day, it logs 10
different metrics (like time spent on site, clicks, purchases, etc.) for each user (15000
values in total). What tensor shape encapsulates this data?
Tutto è chiaro?
Grazie per i tuoi commenti!
Sezione 1. Capitolo 13